Mining Deep Television Libraries with AI

Surface meaningful moments for digital across your entire archive in minutes without relying on institutional memory or long manual searches.
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The Problem

Deep television libraries often span hundreds or thousands of episodes.

Accessing the moments that drive digital usually depends on a handful of lifers who remember everything, or long, manual research cycles to build a usable archive.

ClipMiner removes those bottlenecks by replacing institutional memory and slow workflows with a system your team can query in minutes.

Our Solution

We built a focused stack and workflow that turns deep content libraries into something your team can search in minutes.

Broadcast caption files and related materials are ingested through automation, transforming fragmented archives into a private AI search engine built exclusively on your content.

Your team runs defined queries through a simple web interface, and the system scans the full library to return structured moments with season, episode, act, and contextual detail built for digital production.

How It Works

Inputs

Caption files

Episode metadata

Production notes

AI Processing

Structure content

Understand episodes

Private search

Outputs

Moment lists

Full descriptions

Export-ready sheets

The Interface

ClipMiner UI mockup

Who This Is For

ClipMiner is built for digital teams working inside deep television libraries with hundreds or thousands of episodes.

If accessing usable moments depends on institutional memory or lengthy research cycles, this makes the entire archive instantly searchable.

It’s especially useful for long-running formats such as game shows, court, talk, soaps, reality, and other catalogs with significant digital potential.

Who We Are

ClipMiner is built by digital producers with billions of views across all major platforms on behalf of multiple global entertainment brands.

We have spent years working inside long-running television formats and understand how archives are actually mined, packaged, and monetized.

We built the tool we always needed and are now making it available to select partners.

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If this resonates, we should talk.